Patents by Inventor Rahul Deo Vishwakarma

Rahul Deo Vishwakarma has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20220253361
    Abstract: Techniques described herein relate to methods for managing backup and restore operations. Such a method may include performing a vProxy health analysis to obtain vProxies assigned a healthy label; performing a confidence analysis to assign a health confidence score to each separate healthy label for each vProxy of the plurality of vProxies; filtering the plurality of vProxies to obtain a set of vProxies, each having a separate health confidence score over a confidence score threshold; calculating average throughput for each vProxy in the set of vProxies; assigning an optimal label to a vProxy of the set of vProxies based on the vProxy having an average throughput over a throughput threshold; and presenting a list of optimal vProxies comprising the vProxy to an entity configuring a backup job. The entity may select the vProxy for use in the backup job in response to being presented the optimal label of the vProxy.
    Type: Application
    Filed: February 11, 2021
    Publication date: August 11, 2022
    Inventors: Shelesh Chopra, Rahul Deo Vishwakarma, Sharath Talkad Srinivasan, Parmeshwr Prasad
  • Patent number: 11403186
    Abstract: One example method includes selecting a best performing memory for an operation. A data protection system may maintain a global view of performance data for multiple namespaces. The performance data may reflect latency and/or bandwidth for each of the namespaces. The global view may be updated. When performing an operation, the best performing namespace can be selected from the global view based on performance.
    Type: Grant
    Filed: January 14, 2021
    Date of Patent: August 2, 2022
    Assignee: EMC IP HOLDING COMPANY LLC
    Inventors: Parmeshwr Prasad, Bing Liu, Rahul Deo Vishwakarma
  • Patent number: 11403029
    Abstract: A method for managing a plurality of storage devices includes obtaining, by a storage device cleaning manager, a set of self-monitored statistics, performing an initial concern analysis to generate an initial concern prediction for each of the plurality of storage devices in a storage system, wherein the set of self-monitored statistics are associated with the plurality of storage devices, updating a cleaning policy based on the initial concern prediction, obtaining input/output (I/O) statistics, after updating the cleaning policy based on the initial concern prediction, performing a secondary concern analysis using the I/O statistics to generate a secondary concern prediction for each of the plurality of storage devices, wherein the I/O statistics are associated with the plurality of storage devices, further updating the cleaning policy, and performing a cleaning of at least a portion of the plurality of storage devices based on the updated cleaning policy.
    Type: Grant
    Filed: October 30, 2020
    Date of Patent: August 2, 2022
    Assignee: Dell Products L.P.
    Inventors: Chandrashekar Nelogal, Rahul Deo Vishwakarma, Parmeshwr Prasad
  • Publication number: 20220230083
    Abstract: One example method includes accessing a dataset, selecting a list of attributes of the dataset, each of the attributes being selected based on a determination that the attribute is affecting growth of the dataset and affecting an amount of data storage space consumed by the dataset, assigning a SHAP score to each attribute, using the SHAP scores to assign respective weights to each attribute, deriving drift and shock information for the dataset, and based on the drift and shock information, calculating a risk score that a storage capacity of an asset where the dataset is stored will be exhausted within a particular time interval.
    Type: Application
    Filed: January 20, 2021
    Publication date: July 21, 2022
    Inventors: Rahul Deo Vishwakarma, Bing Liu, Parmeshwr Prasad
  • Publication number: 20220229570
    Abstract: One example method includes defining a configuration of SCM, receiving a stream of IOs from a client, analyzing the stream of IOs and, based on the analyzing, estimating future IO behavior of the client, and based on estimated future IO behavior of the client, reconfiguring one or more parameters of the configuration of the SCM to define an updated configuration of the SCM, and the updated configuration of the SCM enables an improvement in IO performance relative to an IO performance of the configuration of the SCM.
    Type: Application
    Filed: January 19, 2021
    Publication date: July 21, 2022
    Inventors: Parmeshwr Prasad, Rahul Deo Vishwakarma
  • Publication number: 20220222149
    Abstract: One example method includes selecting a best performing memory for an operation. A data protection system may maintain a global view of performance data for multiple namespaces. The performance data may reflect latency and/or bandwidth for each of the namespaces. The global view may be updated. When performing an operation, the best performing namespace can be selected from the global view based on performance.
    Type: Application
    Filed: January 14, 2021
    Publication date: July 14, 2022
    Inventors: Parmeshwr Prasad, Bing Liu, Rahul Deo Vishwakarma
  • Publication number: 20220215273
    Abstract: The described technology is generally directed towards predicting the survival of a storage device (e.g., a hard disk drive or a solid state drive) to a specified time point, expressed as a confidence score, via a prediction uncertainty quantifier framework with a machine learning classifier. The confidence score corresponds to the likelihood of a storage device surviving until a specified time point (e.g., for n hours). In one implementation, a conformal prediction framework provides the confidence score for a storage device, based on survival rate data predicted using recent telemetry data collected for that storage device by an online semi-parametric Mondrian survival forest classifier. Updated confidence scores based on updated telemetry data can be obtained at various evaluation stages to reevaluate whether to take remedial action with respect to a storage device (e.g., replace the storage device). Multiple storage devices can be ranked by their respective associated confidence scores.
    Type: Application
    Filed: January 5, 2021
    Publication date: July 7, 2022
    Inventors: Parminder Singh Sethi, Rahul Deo Vishwakarma, Vasanth Sathyanarayanan
  • Patent number: 11379145
    Abstract: Techniques described herein relate to methods for managing backup and restore operations. The method may include obtaining a health data items associated with vProxies; performing a first clustering analysis using the health data items to apply a first vProxy health label to a first portion of the vProxies and a second vProxy health label to a second portion of the vProxies; performing a first confidence analysis to determine a separate vProxy health confidence value for the first vProxy health label assigned to each of the first portion of vProxies; ranking the first portion of vProxies based on the first confidence analysis to obtain a ranked vProxy health list; receiving a request to perform a backup and restore management operation; and providing, in response to the request, a portion of the ranked vProxy health list to an entity requesting the backup and restore management operation.
    Type: Grant
    Filed: December 9, 2020
    Date of Patent: July 5, 2022
    Assignee: EMC IP Holding Company LLC
    Inventors: Shelesh Chopra, Rahul Deo Vishwakarma, Sharath Talkad Srinivasan, Parmeshwr Prasad
  • Publication number: 20220197751
    Abstract: A method and system for risk score based asset data protection using a conformal framework. Concerning Internet-of-Things (IoT) environments, there is a growing challenge to ensure the availability and continuity of applications executing, as well as relevant application data maintained, on IoT devices, in order to mitigate potential operational failures and/or interruptions. The disclosed method and system address this growing challenge through risk-score assessments of the applications and their respective relevant application data (collectively referred to as assets), as well as the potential degradation of the underlying IoT device hardware. The aforementioned risk-score assessments employ clustering to identify, and a conformal framework to rank, high-risk (for failure) assets, which may subsequently be subjected to backup operations (overriding existing policies) to guarantee asset protection.
    Type: Application
    Filed: December 22, 2020
    Publication date: June 23, 2022
    Inventors: Shelesh Chopra, Mahantesh M. Ambaljeri, Rahul Deo Vishwakarma, Parmeshwr Prasad
  • Publication number: 20220197762
    Abstract: A method and system for health rank based virtual machine restoration using a conformal framework. With respect to enterprise data protection, solutions need to address two primary responsibilities: at the onset of failure or disaster, restore any running applications, as well as any lost or damaged data; and minimize (if not eliminate) the future occurrence of such failures or disasters. In tackling the latter responsibility, the disclosed method and system leverage health-score assessments to ensure the restoration of virtual machines onto healthy infrastructure. The aforementioned health-score assessments employ clustering to identify, and a conformal framework to rank, healthy hosts onto which virtual machines may be restored.
    Type: Application
    Filed: December 22, 2020
    Publication date: June 23, 2022
    Inventors: Shelesh Chopra, Mahantesh M. Ambaljeri, Rahul Deo Vishwakarma, Gopal Singh, Parmeshwr Prasad
  • Publication number: 20220179558
    Abstract: Techniques described herein relate to methods for managing backup and restore operations. The method may include obtaining a health data items associated with vProxies; performing a first clustering analysis using the health data items to apply a first vProxy health label to a first portion of the vProxies and a second vProxy health label to a second portion of the vProxies; performing a first confidence analysis to determine a separate vProxy health confidence value for the first vProxy health label assigned to each of the first portion of vProxies; ranking the first portion of vProxies based on the first confidence analysis to obtain a ranked vProxy health list; receiving a request to perform a backup and restore management operation; and providing, in response to the request, a portion of the ranked vProxy health list to an entity requesting the backup and restore management operation.
    Type: Application
    Filed: December 9, 2020
    Publication date: June 9, 2022
    Inventors: Shelesh Chopra, Rahul Deo Vishwakarma, Sharath Talkad Srinivasan, Parmeshwr Prasad
  • Publication number: 20220147016
    Abstract: Techniques described herein relate to methods and systems for thermal management of a thermal environment. The method may include using thermal data items from computing devices and time series analysis to predict future thermal values for the thermal data items; performing a clustering analysis using the predicted future thermal values to assign cluster labels to the computing devices; using the cluster labels and the predicted future thermal values to assign predicted thermal status labels to the computing devices; assigning a confidence value to the predicted thermal status labels and ranking the computing devices based on the confidence values; performing an analysis to determine a thermal data item contributing to the assigned thermal status; and sending the results to a thermal environment administrator.
    Type: Application
    Filed: November 9, 2020
    Publication date: May 12, 2022
    Inventors: Rahul Deo Vishwakarma, Hemant Gaikward, Ashish Singh
  • Patent number: 11330078
    Abstract: Techniques described herein relate to a method for deploying workflows with data management services. The method may include identifying a service update event; identifying a service sub-tree based on a service call graph; generating an update sequence for the service sub-tree; predicting an update window for the service sub-tree; selecting a first service of the service sub-tree based on the update sequence, wherein the first service includes a first standby service instance and a first active service instance; generating a backup of a first portion of a services shared data volume repository associated with the first service; applying an update to the first standby service instance to obtain a first updated active service instance; making a first determination that a first performance and reliability check associated with the first updated active service instance is below a threshold; applying the update to a second standby service instance.
    Type: Grant
    Filed: July 27, 2021
    Date of Patent: May 10, 2022
    Assignee: EMC IP Holding Company LLC
    Inventors: Shelesh Chopra, Hemant Ramesh Gaikwad, Rahul Deo Vishwakarma
  • Publication number: 20220137853
    Abstract: A method for managing a plurality of storage devices includes obtaining, by a storage device cleaning manager, a set of self-monitored statistics, performing an initial concern analysis to generate an initial concern prediction for each of the plurality of storage devices in a storage system, wherein the set of self-monitored statistics are associated with the plurality of storage devices, updating a cleaning policy based on the initial concern prediction, obtaining input/output (I/O) statistics, after updating the cleaning policy based on the initial concern prediction, performing a secondary concern analysis using the I/O statistics to generate a secondary concern prediction for each of the plurality of storage devices, wherein the I/O statistics are associated with the plurality of storage devices, further updating the cleaning policy, and performing a cleaning of at least a portion of the plurality of storage devices based on the updated cleaning policy.
    Type: Application
    Filed: October 30, 2020
    Publication date: May 5, 2022
    Inventors: Chandrashekar Nelogal, Rahul Deo Vishwakarma, Parmeshwr Prasad
  • Patent number: 11314600
    Abstract: Embodiments described herein relate to techniques for placing backup data based on health scores. The techniques may include: obtaining data items associated with a first data domain restorer; obtaining data items associated with a second data domain restorer; making a prediction that the first data domain restorer is operating normally; making a prediction that the second data domain restorer is operating normally; assigning a confidence value to the first prediction; making a classification of the first data domain restorer in a first group based on the confidence value; assigning a confidence value to the second prediction; making a classification of the second data domain restorer in a second group based on the confidence value; and performing a data backup to the first data domain restorer from a first computing device based on the classification and a first service level required for the first computing device.
    Type: Grant
    Filed: May 29, 2020
    Date of Patent: April 26, 2022
    Assignee: EMC IP Holding Company LLC
    Inventors: Parmeshwr Prasad, Bing Liu, Rahul Deo Vishwakarma
  • Publication number: 20220100412
    Abstract: Non-volatile Random Access Memory (NVR) on a storage system may be dynamically converted between use as temporary memory in a memory context and use as persistent memory in a storage context. NVR (e.g., embodied as DIMM) may be utilized in a hybrid capacity, where some of the NVR is used as memory and some of the NVR is used as storage, and where NVR memory is converted to memory as needed, dynamically as I/O is being processed using the NVR. A host system may be directly connected to an internal switching fabric of the data storage system without an intervening component of the storage system (e.g., a director) controlling access of the host system to the internal fabric or to the memory. The host system may provision and use the NVR as storage by directly communicating with the NVR over the internal fabric, for example, using RDMA.
    Type: Application
    Filed: September 28, 2020
    Publication date: March 31, 2022
    Applicant: EMC IP Holding Company LLC
    Inventors: Owen Martin, Earl Medeiros, Parmeshwr Prasad, Rahul Deo Vishwakarma
  • Publication number: 20220066645
    Abstract: Methods and systems support managed use of a Storage Class Memory (SCM) by one or more applications operating on an IHS (Information Handling System). The operations that are supported by an IHS processor for flushing data from the SCM are determined. Applications are identified that operate using the persistent data storage capabilities of the SCM. The SCM flushing operations invoked by each these applications are monitored. The utilization of the SCM by each of the first plurality of applications is determined based at least in part on the monitored flushing operations by each application. The utilization of the SCM may also be based on calculated metrics of SCM utilization by the respective applications. The applications are classified based their determined SCM utilizations. Based on the classifications of SCM utilization, a subset of the applications may be identified for removal from use of the SCM.
    Type: Application
    Filed: August 26, 2020
    Publication date: March 3, 2022
    Applicant: Dell Products, L.P.
    Inventors: Parmeshwr Prasad, Rahul Deo Vishwakarma
  • Patent number: 11243705
    Abstract: A method and system for policy class based data migration. Specifically, the method and system disclosed herein entail dynamically changing policy classes with which any given data migration may be associated while the given data migration is transpiring. In transitioning between policy classes, different levels of resources, available to different policy classes, respectively, may be allocated to supporting the given data migration.
    Type: Grant
    Filed: August 1, 2019
    Date of Patent: February 8, 2022
    Assignee: EMC IP Holding Company LLC
    Inventors: Jayanth Kumar Reddy Perneti, Rahul Deo Vishwakarma
  • Publication number: 20220019564
    Abstract: From among physical storage devices (PSDs) of a storage system, a set of two or more of the PSDs that are eligible for scrubbing may be determined; and from among the set, a relative eligibility of the PSDs may be determined. Conformance prediction analysis may be applied to determine the set and the relative eligibility of PSDs of the set. The conformance prediction analysis may determine a scrubbing eligibility classification (e.g., label), and a confidence value for the classification, which may serve as the relative eligibility of the PSD. The eligible PSDs may be ranked in an order according to determined confidence values, and may be further classified according to such order. The future workload of the storage system may be forecasted, and the scrubbing of PSDs may be scheduled based on the forecasted workload of the system and the relative eligibilities of the set of PSDs.
    Type: Application
    Filed: July 14, 2020
    Publication date: January 20, 2022
    Applicant: EMC IP Holding Company LLC
    Inventors: Bing Liu, Rahul Deo Vishwakarma
  • Patent number: 11227222
    Abstract: Techniques described herein relate to a method for forecasting backup failures. Such techniques may include: obtaining data items associated with backup jobs; writing entries in a time series database, the entries comprising successful backup jobs and failed backup jobs; performing a first analysis to predict future failed backup jobs based on the entries in the time series database to obtain a future backup job failure predictions; performing a second analysis to determine a confidence prediction for each of the future backup job failure predictions; ranking the future backup job failure predictions based on the second analysis; performing a third analysis to determine at least one variable leading to each of the future backup job failure predictions; and sending results of the second analysis and the third analysis to an administrator of a data domain.
    Type: Grant
    Filed: July 15, 2020
    Date of Patent: January 18, 2022
    Assignee: EMC IP Holding Company LLC
    Inventors: Rahul Deo Vishwakarma, Shelesh Chopra, Parmeshwr Prasad